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Implementation of a modified perturb and observe maximum power point tracking algorithm for photovoltaic system using an embedded microcontroller

机译:使用嵌入式微控制器实现光伏系统的改进扰动和观测最大功率点跟踪算法

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The conventional algorithm of perturb and observe (P&O) is widely applied due to its simplicity, low cost and easy implementation. However, it suffers from instabilities during rapid changes of weather and/or oscillation around maximum power point (MPP) at steady state. Instabilities occur due to the incorrect decision taken by the conventional P&O algorithm at the first step change in duty cycle during the rapid change in radiation. The reason for the steady-state oscillation is the continuous perturbation and tradeoff between step sizes and the convergence time. This study presents a modified P&O algorithm to overcome such drawbacks. It uses a constant load technique to help the conventional P&O algorithm for recognising the cause of power change and to enable it in taking the right decision at first step change in duty cycle during rapid change of weather. The proposed algorithm is simulated using a single solar photovoltaic module of 80 W and a DC/DC boost converter. It is validated experimentally and implemented within an embedded microcontroller. The experimental setup presents a proposed model-based design methodology that uses measurements' data for MPP tracking systems' design. It combines hardware-in-the-loop simulation and prototype testing using actual weather measurements. Simulation and experiments show excellent results.
机译:传统的扰动与观测算法(P&O)由于其简单,低成本和易于实现而被广泛应用。然而,在天气的快速变化和/或稳定状态下最大功率点(MPP)附近振荡期间,它会遭受不稳定的困扰。由于常规P&O算法在辐射快速变化期间占空比的第一步变化时做出的错误决定会导致不稳定性。稳态振荡的原因是步长和收敛时间之间的连续扰动和折衷。这项研究提出了一种改进的P&O算法,以克服这些缺点。它使用恒定负载技术来帮助常规P&O算法识别功率变化的原因,并使其能够在天气快速变化期间的占空比的第一步变化中做出正确的决定。使用单个80 W太阳能光伏模块和DC / DC升压转换器对所提出的算法进行仿真。经过实验验证,并在嵌入式微控制器中实现。实验设置提出了一种基于模型的设计方法,该方法将测量数据用于MPP跟踪系统的设计。它结合了使用实际天气测量的硬件在环仿真和原型测试。仿真和实验显示了极好的结果。

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